Overview

Dataset statistics

Number of variables14
Number of observations55
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)1.8%
Total size in memory6.5 KiB
Average record size in memory120.4 B

Variable types

Numeric2
Text2
Categorical9
DateTime1

Dataset

Description대구광역시 달서구 내 지정게시대 현황에 대한 내용 및 정보가 담겨있음. (좌표, 설치위치, 주소, 부착면수, 설치방식, 행정동, 규격, 민원수수료, 점용가능일, 점용료)
URLhttps://www.data.go.kr/data/15037229/fileData.do

Alerts

부착면수 has constant value ""Constant
설치방식 has constant value ""Constant
규격(m_m) has constant value ""Constant
민원수수료 has constant value ""Constant
점용가능일 has constant value ""Constant
점용료 has constant value ""Constant
관리부서명 has constant value ""Constant
전화번호 has constant value ""Constant
기준일자 has constant value ""Constant
Dataset has 1 (1.8%) duplicate rowsDuplicates
위도 is highly overall correlated with 행정동High correlation
경도 is highly overall correlated with 행정동High correlation
행정동 is highly overall correlated with 위도 and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 02:21:20.235692
Analysis finished2023-12-12 02:21:21.399502
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct48
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.842135
Minimum35.805438
Maximum35.863255
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T11:21:21.488872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.805438
5-th percentile35.806857
Q135.834443
median35.847076
Q335.853638
95-th percentile35.860061
Maximum35.863255
Range0.0578167
Interquartile range (IQR)0.019195135

Descriptive statistics

Standard deviation0.016412422
Coefficient of variation (CV)0.0004579086
Kurtosis0.027887756
Mean35.842135
Median Absolute Deviation (MAD)0.00944974
Skewness-0.99013041
Sum1971.3174
Variance0.0002693676
MonotonicityNot monotonic
2023-12-12T11:21:21.658320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
35.84515497 2
 
3.6%
35.82991428 2
 
3.6%
35.80543847 2
 
3.6%
35.85330408 2
 
3.6%
35.83956997 2
 
3.6%
35.85025339 2
 
3.6%
35.85608851 2
 
3.6%
35.83766762 1
 
1.8%
35.82411883 1
 
1.8%
35.85406527 1
 
1.8%
Other values (38) 38
69.1%
ValueCountFrequency (%)
35.80543847 2
3.6%
35.80666027 1
1.8%
35.80694196 1
1.8%
35.80819049 1
1.8%
35.80917107 1
1.8%
35.81558948 1
1.8%
35.82348419 1
1.8%
35.82411883 1
1.8%
35.82991428 2
3.6%
35.8310902 1
1.8%
ValueCountFrequency (%)
35.86325517 1
1.8%
35.86186602 1
1.8%
35.86028574 1
1.8%
35.85996425 1
1.8%
35.85908412 1
1.8%
35.85887818 1
1.8%
35.85829159 1
1.8%
35.8574009 1
1.8%
35.85653427 1
1.8%
35.85608851 2
3.6%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct48
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.51917
Minimum128.47368
Maximum128.56984
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T11:21:21.866862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47368
5-th percentile128.47807
Q1128.50066
median128.52021
Q3128.53297
95-th percentile128.55912
Maximum128.56984
Range0.0961584
Interquartile range (IQR)0.03231305

Descriptive statistics

Standard deviation0.023877761
Coefficient of variation (CV)0.00018579143
Kurtosis-0.49585424
Mean128.51917
Median Absolute Deviation (MAD)0.0154416
Skewness0.01340697
Sum7068.5546
Variance0.00057014747
MonotonicityNot monotonic
2023-12-12T11:21:22.011216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
128.4908208 2
 
3.6%
128.5328409 2
 
3.6%
128.5358968 2
 
3.6%
128.5078657 2
 
3.6%
128.5580554 2
 
3.6%
128.4736813 2
 
3.6%
128.5247569 2
 
3.6%
128.5303802 1
 
1.8%
128.5328131 1
 
1.8%
128.5174474 1
 
1.8%
Other values (38) 38
69.1%
ValueCountFrequency (%)
128.4736813 2
3.6%
128.4740314 1
1.8%
128.4798079 1
1.8%
128.4889887 1
1.8%
128.4896069 1
1.8%
128.4904566 1
1.8%
128.4908208 2
3.6%
128.4928466 1
1.8%
128.4958665 1
1.8%
128.4988252 1
1.8%
ValueCountFrequency (%)
128.5698397 1
1.8%
128.5661564 1
1.8%
128.5615885 1
1.8%
128.5580554 2
3.6%
128.5493994 1
1.8%
128.546119 1
1.8%
128.5456 1
1.8%
128.5408067 1
1.8%
128.5382969 1
1.8%
128.5358968 2
3.6%

설치위치
Text

Distinct54
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-12T11:21:22.313226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length9.6181818
Min length5

Characters and Unicode

Total characters529
Distinct characters140
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)96.4%

Sample

1st row감천네거리
2nd row감천초등학교
3rd row고려자동차학원앞
4th row희성전자 대구2공장
5th row그린맨션앞
ValueCountFrequency (%)
옆 4
 
4.1%
용산동 3
 
3.1%
우측 3
 
3.1%
맞은편 3
 
3.1%
북편 3
 
3.1%
아파트 3
 
3.1%
좌측 3
 
3.1%
장산공원 2
 
2.1%
두리봉네거리 2
 
2.1%
성서 2
 
2.1%
Other values (63) 69
71.1%
2023-12-12T11:21:22.740184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
 
7.9%
성 22
 
4.2%
서 21
 
4.0%
공 14
 
2.6%
아 13
 
2.5%
리 12
 
2.3%
파 11
 
2.1%
편 11
 
2.1%
트 11
 
2.1%
원 10
 
1.9%
Other values (130) 362
68.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 470
88.8%
Space Separator 42
 
7.9%
Decimal Number 15
 
2.8%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 22
 
4.7%
서 21
 
4.5%
공 14
 
3.0%
아 13
 
2.8%
리 12
 
2.6%
파 11
 
2.3%
편 11
 
2.3%
트 11
 
2.3%
원 10
 
2.1%
거 9
 
1.9%
Other values (122) 336
71.5%
Decimal Number
ValueCountFrequency (%)
1 5
33.3%
2 5
33.3%
0 2
 
13.3%
7 1
 
6.7%
6 1
 
6.7%
3 1
 
6.7%
Space Separator
ValueCountFrequency (%)
42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 470
88.8%
Common 59
 
11.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 22
 
4.7%
서 21
 
4.5%
공 14
 
3.0%
아 13
 
2.8%
리 12
 
2.6%
파 11
 
2.3%
편 11
 
2.3%
트 11
 
2.3%
원 10
 
2.1%
거 9
 
1.9%
Other values (122) 336
71.5%
Common
ValueCountFrequency (%)
42
71.2%
1 5
 
8.5%
2 5
 
8.5%
0 2
 
3.4%
- 2
 
3.4%
7 1
 
1.7%
6 1
 
1.7%
3 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 470
88.8%
ASCII 59
 
11.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42
71.2%
1 5
 
8.5%
2 5
 
8.5%
0 2
 
3.4%
- 2
 
3.4%
7 1
 
1.7%
6 1
 
1.7%
3 1
 
1.7%
Hangul
ValueCountFrequency (%)
성 22
 
4.7%
서 21
 
4.5%
공 14
 
3.0%
아 13
 
2.8%
리 12
 
2.6%
파 11
 
2.3%
편 11
 
2.3%
트 11
 
2.3%
원 10
 
2.1%
거 9
 
1.9%
Other values (122) 336
71.5%

도로명주소
Text

Distinct48
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-12T11:21:23.035528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length17.563636
Min length15

Characters and Unicode

Total characters966
Distinct characters52
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)74.5%

Sample

1st row대구광역시 달서구 용산로 3
2nd row대구광역시 달서구 구마로12길 60
3rd row대구광역시 달서구 상화로 116
4th row대구광역시 달서구 성서공단북로 61
5th row대구광역시 달서구 구마로36길 20
ValueCountFrequency (%)
대구광역시 55
25.0%
달서구 55
25.0%
45 4
 
1.8%
달서대로 3
 
1.4%
선원로 3
 
1.4%
3 3
 
1.4%
성지로 3
 
1.4%
성서로 3
 
1.4%
성서공단북로 3
 
1.4%
도원로 3
 
1.4%
Other values (70) 85
38.6%
2023-12-12T11:21:23.462788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
165
17.1%
구 114
11.8%
서 72
 
7.5%
대 62
 
6.4%
달 60
 
6.2%
광 55
 
5.7%
역 55
 
5.7%
시 55
 
5.7%
로 52
 
5.4%
1 41
 
4.2%
Other values (42) 235
24.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 648
67.1%
Space Separator 165
 
17.1%
Decimal Number 151
 
15.6%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 114
17.6%
서 72
11.1%
대 62
9.6%
달 60
9.3%
광 55
8.5%
역 55
8.5%
시 55
8.5%
로 52
8.0%
성 15
 
2.3%
산 14
 
2.2%
Other values (30) 94
14.5%
Decimal Number
ValueCountFrequency (%)
1 41
27.2%
2 21
13.9%
5 17
11.3%
3 17
11.3%
6 13
 
8.6%
0 13
 
8.6%
4 10
 
6.6%
7 10
 
6.6%
9 5
 
3.3%
8 4
 
2.6%
Space Separator
ValueCountFrequency (%)
165
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 648
67.1%
Common 318
32.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 114
17.6%
서 72
11.1%
대 62
9.6%
달 60
9.3%
광 55
8.5%
역 55
8.5%
시 55
8.5%
로 52
8.0%
성 15
 
2.3%
산 14
 
2.2%
Other values (30) 94
14.5%
Common
ValueCountFrequency (%)
165
51.9%
1 41
 
12.9%
2 21
 
6.6%
5 17
 
5.3%
3 17
 
5.3%
6 13
 
4.1%
0 13
 
4.1%
4 10
 
3.1%
7 10
 
3.1%
9 5
 
1.6%
Other values (2) 6
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 648
67.1%
ASCII 318
32.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
165
51.9%
1 41
 
12.9%
2 21
 
6.6%
5 17
 
5.3%
3 17
 
5.3%
6 13
 
4.1%
0 13
 
4.1%
4 10
 
3.1%
7 10
 
3.1%
9 5
 
1.6%
Other values (2) 6
 
1.9%
Hangul
ValueCountFrequency (%)
구 114
17.6%
서 72
11.1%
대 62
9.6%
달 60
9.3%
광 55
8.5%
역 55
8.5%
시 55
8.5%
로 52
8.0%
성 15
 
2.3%
산 14
 
2.2%
Other values (30) 94
14.5%

부착면수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
5
55 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row5
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
5 55
100.0%

Length

2023-12-12T11:21:23.627684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:21:23.723290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 55
100.0%

설치방식
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
탱탱걸이식
55 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row탱탱걸이식
2nd row탱탱걸이식
3rd row탱탱걸이식
4th row탱탱걸이식
5th row탱탱걸이식

Common Values

ValueCountFrequency (%)
탱탱걸이식 55
100.0%

Length

2023-12-12T11:21:23.834881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:21:23.984518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
탱탱걸이식 55
100.0%

행정동
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
용산동
13 
이곡동
9 
도원동
6 
월성동
5 
성당동
5 
Other values (9)
17 

Length

Max length3
Median length3
Mean length2.9818182
Min length2

Unique

Unique3 ?
Unique (%)5.5%

Sample

1st row본리동
2nd row월성동
3rd row도원동
4th row호림동
5th row본동

Common Values

ValueCountFrequency (%)
용산동 13
23.6%
이곡동 9
16.4%
도원동 6
10.9%
월성동 5
 
9.1%
성당동 5
 
9.1%
호림동 3
 
5.5%
파호동 3
 
5.5%
본리동 2
 
3.6%
대천동 2
 
3.6%
갈산동 2
 
3.6%
Other values (4) 5
 
9.1%

Length

2023-12-12T11:21:24.190445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
용산동 13
23.6%
이곡동 9
16.4%
도원동 6
10.9%
월성동 5
 
9.1%
성당동 5
 
9.1%
호림동 3
 
5.5%
파호동 3
 
5.5%
본리동 2
 
3.6%
대천동 2
 
3.6%
갈산동 2
 
3.6%
Other values (4) 5
 
9.1%

규격(m_m)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
8*0.9
55 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row8*0.9
2nd row8*0.9
3rd row8*0.9
4th row8*0.9
5th row8*0.9

Common Values

ValueCountFrequency (%)
8*0.9 55
100.0%

Length

2023-12-12T11:21:24.340251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:21:24.451793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
8*0.9 55
100.0%

민원수수료
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
7000
55 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7000
2nd row7000
3rd row7000
4th row7000
5th row7000

Common Values

ValueCountFrequency (%)
7000 55
100.0%

Length

2023-12-12T11:21:24.585487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:21:24.715552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7000 55
100.0%

점용가능일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
15
55 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row15
2nd row15
3rd row15
4th row15
5th row15

Common Values

ValueCountFrequency (%)
15 55
100.0%

Length

2023-12-12T11:21:24.832829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:21:24.952503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
15 55
100.0%

점용료
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
34650
55 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row34650
2nd row34650
3rd row34650
4th row34650
5th row34650

Common Values

ValueCountFrequency (%)
34650 55
100.0%

Length

2023-12-12T11:21:25.084046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:21:25.208144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
34650 55
100.0%

관리부서명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
대구광역시 달서구 도시디자인과
55 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 달서구 도시디자인과
2nd row대구광역시 달서구 도시디자인과
3rd row대구광역시 달서구 도시디자인과
4th row대구광역시 달서구 도시디자인과
5th row대구광역시 달서구 도시디자인과

Common Values

ValueCountFrequency (%)
대구광역시 달서구 도시디자인과 55
100.0%

Length

2023-12-12T11:21:25.323502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:21:25.464433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 55
33.3%
달서구 55
33.3%
도시디자인과 55
33.3%

전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
053-667-2841
55 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row053-667-2841
2nd row053-667-2841
3rd row053-667-2841
4th row053-667-2841
5th row053-667-2841

Common Values

ValueCountFrequency (%)
053-667-2841 55
100.0%

Length

2023-12-12T11:21:25.609793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:21:25.733429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-667-2841 55
100.0%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2023-01-01 00:00:00
Maximum2023-01-01 00:00:00
2023-12-12T11:21:25.837157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:21:26.270156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T11:21:20.841422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:21:20.653551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:21:20.946407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:21:20.743139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:21:26.351894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치위치도로명주소행정동
위도1.0000.6851.0001.0000.900
경도0.6851.0001.0001.0000.896
설치위치1.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.000
행정동0.9000.8961.0001.0001.000
2023-12-12T11:21:26.471038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도행정동
위도1.000-0.3650.637
경도-0.3651.0000.640
행정동0.6370.6401.000

Missing values

2023-12-12T11:21:21.095320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:21:21.302448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

위도경도설치위치도로명주소부착면수설치방식행정동규격(m_m)민원수수료점용가능일점용료관리부서명전화번호기준일자
035.837668128.53038감천네거리대구광역시 달서구 용산로 35탱탱걸이식본리동8*0.970001534650대구광역시 달서구 도시디자인과053-667-28412023-01-01
135.835267128.533098감천초등학교대구광역시 달서구 구마로12길 605탱탱걸이식월성동8*0.970001534650대구광역시 달서구 도시디자인과053-667-28412023-01-01
235.80819128.527096고려자동차학원앞대구광역시 달서구 상화로 1165탱탱걸이식도원동8*0.970001534650대구광역시 달서구 도시디자인과053-667-28412023-01-01
335.845479128.479808희성전자 대구2공장대구광역시 달서구 성서공단북로 615탱탱걸이식호림동8*0.970001534650대구광역시 달서구 도시디자인과053-667-28412023-01-01
435.83583128.546119그린맨션앞대구광역시 달서구 구마로36길 205탱탱걸이식본동8*0.970001534650대구광역시 달서구 도시디자인과053-667-28412023-01-01
535.837059128.488989달서대로 경농대구공장 옆대구광역시 달서구 달서대로85길 255탱탱걸이식대천동8*0.970001534650대구광역시 달서구 도시디자인과053-667-28412023-01-01
635.80666128.540807대곡1단지앞대구광역시 달서구 한실로 1355탱탱걸이식도원동8*0.970001534650대구광역시 달서구 도시디자인과053-667-28412023-01-01
735.851607128.5292대구직업전문학교 삼거리대구광역시 달서구 장산남로 115탱탱걸이식용산동8*0.970001534650대구광역시 달서구 도시디자인과053-667-28412023-01-01
835.805438128.535897도원네거리-우측대구광역시 달서구 도원로 455탱탱걸이식도원동8*0.970001534650대구광역시 달서구 도시디자인과053-667-28412023-01-01
935.805438128.535897도원네거리-좌측대구광역시 달서구 도원로 455탱탱걸이식도원동8*0.970001534650대구광역시 달서구 도시디자인과053-667-28412023-01-01
위도경도설치위치도로명주소부착면수설치방식행정동규격(m_m)민원수수료점용가능일점용료관리부서명전화번호기준일자
4535.85581128.526604성서중학교 서편대구광역시 달서구 용산서로 635탱탱걸이식용산동8*0.970001534650대구광역시 달서구 도시디자인과053-667-28412023-01-01
4635.849727128.56984종합복지회관대구광역시 달서구 성당로 1875탱탱걸이식성당동8*0.970001534650대구광역시 달서구 도시디자인과053-667-28412023-01-01
4735.831397128.489607한국지역난방공사 네거리 남쪽코너대구광역시 달서구 달서대로 3515탱탱걸이식대천동8*0.970001534650대구광역시 달서구 도시디자인과053-667-28412023-01-01
4835.863255128.490457한화꿈에그린 아파트 맞은편대구광역시 달서구 달서대로 7195탱탱걸이식신당동8*0.970001534650대구광역시 달서구 도시디자인과053-667-28412023-01-01
4935.856089128.524757용산동 장산공원 맞은편대구광역시 달서구 장산1길 705탱탱걸이식용산동8*0.970001534650대구광역시 달서구 도시디자인과053-667-28412023-01-01
5035.861866128.52681용산동 한국전력 맞은편대구광역시 달서구 장산로32길 35탱탱걸이식용산동8*0.970001534650대구광역시 달서구 도시디자인과053-667-28412023-01-01
5135.829914128.532841달서구청 우측대구광역시 달서구 학산로 455탱탱걸이식월성동8*0.970001534650대구광역시 달서구 도시디자인과053-667-28412023-01-01
5235.829914128.532841달서구청 좌측대구광역시 달서구 학산로 455탱탱걸이식월성동8*0.970001534650대구광역시 달서구 도시디자인과053-667-28412023-01-01
5335.806942128.538297대구상화로사계절타운301동 북편대구광역시 달서구 한실로 1175탱탱걸이식도원동8*0.970001534650대구광역시 달서구 도시디자인과053-667-28412023-01-01
5435.83109128.531897월성초등네거리대구광역시 달서구 학산로7길 265탱탱걸이식월성동8*0.970001534650대구광역시 달서구 도시디자인과053-667-28412023-01-01

Duplicate rows

Most frequently occurring

위도경도설치위치도로명주소부착면수설치방식행정동규격(m_m)민원수수료점용가능일점용료관리부서명전화번호기준일자# duplicates
035.853304128.507866성서행정타운임시환승주차장대구광역시 달서구 성서로 4005탱탱걸이식이곡동8*0.970001534650대구광역시 달서구 도시디자인과053-667-28412023-01-012